• Argamon, S., & Levitan, S. (2005). “Measuring the usefulness of function words for authorship attribution”. In Proceedings of the Joint Conference of the Association for Computers and the Humanities and the Association for Literary and Linguistic Computing.
• Binongo, J. (2003). “Who wrote the 15th book of Oz? An application of multivariate analysis to authorship attribution”. Chance, 16. Pp. 9-17.
• Barlow, M. (2010). “Individual usage: a corpus-based study of idiolects”. In LAUD Symposium. Landau, Germany.
• Barthes, R. (1977). Elements of Semiology. Hill and Wang: New York.
• Burrows, J. F. (1987). “Word patterns and story shapes: The statistical analysis of narrative style”. Literary and Linguistic Computing. 2. Pp. 61–70.
• Burrows, J. F. (2002). “Delta: A measure of stylistic difference and a guide to likely authorship”. Literary and Linguistic Computing. 17. Pp. 267–287.
• Carroll, D. (2008). Psychology of Language (5rd ed.). Wadsworth.
• Eder, M. (2013). “Does size matter? Authorship attribution, small samples, big problem”. Literary and Linguistic Computing. DOI: http://dx.doi.org/10.1093 /llc/fqt066.
• Eder, M.; M. Kestemont & J. Rybicki, (2013), “Stylometry with R: a suite of tools”. In Digital Humanities 2013: Conference Abstracts. University of Nebraska-Lincoln, NE. Pp. 487-89.
• Faili, H.; N.; Ehsan; M. Montazery & M. M. Pilehvar, (2016), “Vafa spell-checker for detecting spelling, grammatical, and real-word errors of Persian language”. Digital Scholarship in Humanities. 31 (1). Pp. 95-117.
• Farahmandpour, Z. & H. Nikmehr, (2015), “A study on intelligent authorship methods in Persian language”. Journal of Computing and Security, 2(1).Pp. 63-76.
• Frontini, F.; G. Lynch & C. Vogel, (2008), “Revisiting the ‘Donation of Constantine’”. In Proceedings of AISB 2008. Pp. 1–9.
• Gamon, M. (2004). “Linguistic correlates of style: Authorship classification with deep linguistic analysis features”. In Proceedings of the 20th International Conference on Computational Linguistics. Pp. 611-617.
• Hedegaard, S. & J. G. Simonsen, (2011), “Lost in translation: Authorship attribution using frame semantics”. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics. June 19-24. Portland. Oregon. Pp. 65-70.
• Holmes, D. I.; L.J. Gordon & C. Wilson, (2001), “A widow and her soldier: stylometry and the American civil war”. Literary and Linguistic Computing. 16(4). Pp. 403-420.
• Hubert, L. and Arabie, P. (1985). “Comparing partitions”. Journal of Classification. 2(1).Pp. 193-218.
• Jakobson, R. (1971). Studies on Child Language and Aphasia. The Hague: Mouton.
• Johansson, V. (2008). “Lexical diversity and lexical density in speech and writing: A developmental perspective”. Lund University, Department of Linguistics and Phonetics: Working Papers. 53.Pp. 61–79.
• Johnson, A. & D. Wright, (2014), “Identifying idiolect in forensic authorship attribution”. Language and Law/Linguagem e Direito. Vol. 1(1). Pp. 37-69.
• Kestemont, M. (2014). “Function words in authorship attribution: from black magic to theory?” In Proceedings of the 3rd Workshop on Computational Linguistics for Literature, April 27, Gothenburg, Sweden. Pp. 59-66.
• Koppel, M. & J. Schler, (2003), “Exploiting stylistic idiosyncrasies for authorship attribution”. In Proceedings of IJCAI'03 Workshop on Computational Approaches to Style Analysis and Synthesis. Pp. 69-72.
• Modaber Dabagh, R. (2007). “Authorship attribution and statistical text analysis”. Metodološki zvezki. 4(2). Pp. 149-163.
• Mosteller, F. & D.L. Wallace, (1964), Inference and Disputed Authorship: The Federalist. Reading, MA: Addison-Wesley.
• Rand, W. M. (1971). “Objective criteria for the evaluation of clustering methods”. Journal of the American Statistical Association. 66. Pp. 846-850.
• R Core Team, (2015), “R: A language and environment for statistical computing". R Foundation for Statistical Computing, Vienna, Austria. URL https://R-project.org/.
• Segarra, S.; M. Eisen & A.Ribeiro, (2015), “Authorship attribution through function word adjacency networks”. In IEEE Transactions on Signal Processing. Vol. 63, No. 20. Oct. 15.Pp. 5464-5478.
• Stamatatos, E. (2009). “A survey of modern authorship attribution methods”. Journal of the American Society for Information Science and Technology. 60(3). Pp. 538-556.
• Stein, B. & S. Meyer zu Eissen, (2007), “Intrinsic plagiarism analysis with meta- learning”. In B. Stein, M. Koppel, & E. Stamatatos (Eds.), SIGIR workshop on plagiarism analysis, authorship identification, and near-duplicate detection (PAN 07) (Pp. 45–50). CEUR-WS.org.
• Totty, R. N. & J. P Hardcastle, (1987), “Forensic linguistics: the determination of authorship from habits of style”. Journal of the Forensic Science Society. 27. Pp. 13-28.
• Wardhaugh, R. & J. M. Fuller, (2015), An Introduction to Sociolinguistics (7th ed.). Wiley-Blackwell.
• Whitelaw, C. & S. Argamon, (2004), “Systemic functional features in stylistic text classification”. In Proceedings of AAAI Fall Symposium on Style and Meaning in Language, Art, and Music.
• Whitelaw, C. & J. Patrick, (2004), “Selecting systemic features for text classification”. In Proceedings of Australian Language Technology Workshop, Sydney, Australia. Pp. 93-100.
• Zhao, Y. & J. Zobel (2005). “Effective and scalable authorship attribution using function words”. In Information Retrieval Technology (Pp. 174–189). Springer.